Climate Action Strategy for City of London - Adaptive Design/Pathways "London's Cubic Mile"

伦敦金融城“平方英里”是伦敦的历史中心，也是英国的金融和商业中心。这是一个高密度的城市环境，绿化水平很低，成熟的树木很少。英国气象局（UKCP18）为伦敦金融城所做的具体模型表明，总体而言，冬季将多雨20%，夏季将少雨30%，极端天气事件将增多，海平面将上升。不断增加的降雨和地表水径流是伦敦金融城面临的一个问题，因为这里的地面坚硬，将大大增加高端商业场所被洪水淹没的风险。气温和热浪的频率也将增加，导致死亡率增加，并给城市的人们和服务带来过热问题。伦敦金融城应对气候变化的未来韧性是伦敦金融城公司（City of London Corporation）的重要议程。英国地质调查局（British Geological Survey）的凯蒂·弗里伯勒（Katy Freeborough）和CoL之间的嵌入式研究员安置的目的是支持伦敦金融城公司《2020-2027年气候行动战略》的实施。该战略的一个关键环节是通过确定潜在的适应措施，提高城市对未来极端天气和长期气候变化的适应能力。为期12个月的项目将侧重于利用地下空间来支持气候行动战略的实施，以确定如何更好地利用地下空间来提高气候适应能力的潜在机会。该项目将评估一系列地下气候适应方案；可持续城市排水系统、城市绿化和植树、地下凉爽空间、地面能源和防止对地下公用设施的破坏。传统上，地下知识在弹性规划中没有得到充分利用，因为它的重要性经常被误解或低估。对于非专业人士来说，处理数据问题和解释技术分析可能会有问题。该研究项目旨在帮助识别和更好地理解数据，确定地表-地下气候恢复适应措施的合适地点，并支持制定实施计划和未来监测其有效性。该设施将为地面和地下的知识交流提供一个平台。该项目将确定、整理、审查和理解相关数据和政策来源；探索如何最好地可视化和表示3D信息；如何管理数据共享协议；并提供所需的数据水平和理解，以充分确定地下使用的选择。通过与CoL的城市规划专家合作，Katy将对规划流程和路线有更深入的了解，从而通过规划制度将NERC地球科学研究的规模缩小，并应用于当地。从根本上说，这种布局将回答这样一个问题：“城市地下空间如何帮助我们实现气候目标？”，以及针对CoL的“可以在哪里实施哪些地下措施？”和“如果目前的理解是不够的，需要做哪些工作来填补空白？”

The City of London "Square Mile" is the historic centre of London and the financial and commercial heart of the UK. It is a very high-density urban environment with a low level of greening and few mature trees. Specific modelling carried out by the Met Office (UKCP18) for 'The City' of London indicates that overall winters will be 20% wetter and summers 30% drier with more extreme weather events and sea level rise. Increased rainfall and surface water run-off present an issue for The City, where the presence of hard surfaces and will significantly increase the risk of flooding of high-profile commercial premises. Temperatures and heatwaves will also increase in frequency leading to increased mortality and issues of overheating for The City's people and services. The future resilience of The City to climate change is high on the City of London Corporation's (CoL) agenda. The aim of this embedded researcher placement between Katy Freeborough, of the British Geological Survey, and the CoL is to support the delivery of the City of London Corporation's Climate Action Strategy 2020-2027. A key strand of this strategy is to improve the resilience of the City to future extreme weather and long-term climatic changes though identification of potential adaptation measures. The 12- month placement will focus on the use of subsurface space to support delivery of the Climate Action Strategy to identify potential opportunities as to how subsurface space may be better used to improve climate resilience. The project will evaluate a range of subsurface climate adaptation options; sustainable urban drainage systems, urban greening and tree planting, cool spaces below ground, ground sourced energy and prevention of damage to buried utility services. Traditionally subsurface knowledge has been under-utilised in resilience planning as its significance is often misunderstood or underappreciated. Addressing data issues and interpreting technical analysis can be problematic for non-specialists. The research project has been designed to help identify and better understand data, identify suitable locations for surface-subsurface climate resilience adaption measures and support the development of plans for their implementation and future monitoring of their effectiveness. The placement will provide a platform for surface-subsurface knowledge exchange. The project will identify, collate, examine and understand relevant data and policy sources; explore how best to visualise and represent the 3D information; how to manage data sharing protocols; and provide the level and understanding of data required to fully define options for subsurface use. By working alongside urban planning experts at CoL, Katy will gain greater insight into planning processes and routes to downscale NERC geoscience research for local application delivered through the planning regime.Fundamentally the placement will answer the question 'How can the urban subsurface help us meet our climate objectives?', and specifically for CoL 'What subsurface measures can be implemented and where?' and 'If current understanding is insufficient, what work is needed to fill the gaps?'.